Self-care agency and health-promoting behavior of a miliatry population
dc.contributor.author | Simmons, Susan | |
dc.date.accessioned | 2021-05-02T18:09:03Z | |
dc.date.available | 2021-05-02T18:09:03Z | |
dc.date.issued | 1990 | |
dc.identifier.uri | en | |
dc.identifier.uri | http://hdl.handle.net/10675.2/623988 | |
dc.description.abstract | A self-care perspective has emerged as a significant theme in the identification and understanding of health behavior patterns in various populations. This study examined the extent to which exercise of self-care agency and the basic conditioning factors of age, gender, marital status, ethnicity, military rank, duty type, formal education, and perceived health state explained reported performance of health-promoting behaviors in a military population. The Health-Promoting Self-care System Model. was developed from three nursing frameworks and tested in a random sample of 421 active-duty Navy men and women. Data were collected over a three-month period by mailed questionnaires, which included a Personal Data Form, the Exercise of self-care Agency (ESCA) Scale (Kearney & Fleischer, 1979), and the Health-Promoting Lifestyle Profile (HPLP) (Walker, Sechrist, & Pender, 1987). The construct validity of study measures was evaluated by principalcomponents analysis, revealing a five-component structure for the ESCA scale and a six-component structure for the HPLP. Internal consistency reliabilities were .92 for the ESCA scale and .95 for the HPLP. stepwise multiple regression analyses demonstrated that total and subscale scores on the ESCA scale were the strongest predictors (E < .001) of total and subscale scores on the HPLP. The basic conditioning factors of marital status, ethnicity, duty type, formal education, and perceived health state were differentially predictive of scores on the total HPLP and its six subscales. Cross-validation of the derived regression models on two random subsamples (£ = 210 and n = 211) indicated similar findings relative to explained variances and strength of predictor variables. Prediction of group membership into high or low levels of health behavior performance, based on the full sample regression models, established a 67% to 83% range of correct classifications. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Augusta University | en_US |
dc.rights | Copyright protected. Unauthorized reproduction or use beyond the exceptions granted by the Fair Use clause of U.S. Copyright law may violate federal law. | en_US |
dc.title | Self-care agency and health-promoting behavior of a miliatry population | en_US |
dc.type | Dissertation | en_US |
dc.contributor.department | School of Nursing | en_US |
dc.description.advisor | McCain, Nancy | |
dc.description.committee | Boyle, Joyceen | |
dc.description.committee | Ellis, Linda | |
dc.description.committee | Huch, Mary | |
dc.description.committee | McCranie, Edward | |
dc.description.degree | Doctor of Philosophy | en_US |
dc.embargo | en | |
refterms.dateFOA | 2021-05-02T18:09:04Z |
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Theses and Dissertations [1565]